Yuri Golobokov
Software Engineer at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYuri Golobokov is a versatile software engineer and team leader with 14+ years of hands-on experience building front-end and back-end systems, now working at Google from Mountain View. He designs and ships robust, high-load microservices and web platforms using Elixir, Go, Ruby, Python, JavaScript and orchestration tools like Docker and Kubernetes, and has led engineering teams and CI/CD practices across startups and enterprises. His background spans telecom-grade middleware and billing systems to conversational AI and chatbot architectures, including contributions to the Chatito dataset generator for NLP testing. Comfortable both leading projects and diving into code, he pairs operational rigor (Elasticsearch logging, Redis, PostgreSQL) with a continual appetite for learning—currently exploring deep learning and NLP.
14 years of coding experience
15 years of employment as a software developer
bachelor, Computer Science, bachelor, Computer Science at Al-Farabi Kazakh National University
English, Russian
Stackoverflow
1,935reputation
68kreached
67answers
0questions
Github Skills (20)
javascript10
typescript10
typescript-types10
typescripts10
chatbot9
nlp9
react8
nlu8
configuration-management8
testing8
ui-design7
front-end-development7
uid7
mechanize6
grpc6
Programming languages (9)
Github contributions (5)
rodrigopivi/Chatito
Jun 2019 - Jul 2019
🎯🗯 Dataset generation for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:7 commits, 3 PRs, 10 comments in 18 days
Contributions summary:Yuri primarily contributed to the development of the `chatito` project by implementing new features and improving existing functionalities. Key contributions include adding the "even distribution" feature to entity definitions, extracted a function to calculate probabilities, and implementing a "defaultDistribution" and "autoAliases" configuration for the project. The user also wrote unit tests to validate the added functionality, including tests for different distribution configurations. Furthermore, the user enhanced the web UI to reflect the new configuration options.
nlubertnlp-tasksentitysentiment-analysis
GoogleCloudPlatform/grpc-gcp-java
Feb 2021 - Jan 2023
Contributions:12 releases, 75 reviews, 170 commits in 2 years
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